pca_scree: Classic Screeplot
In Dynge/r_dynge: Dynge's Useful Functions
Description
Usage
Arguments
Value
Description
This function constructs a screeplot based on either the eigenvalues, percentage of variance or the cummulative percentage of variance.
this can be done by adjusting the type variable.
Usage
1
Arguments
model
The PCA model from FactoMineR.
type
The type of model. This can be one of three: "eig" (eigenvalues),
"pov" (proportion of variance) or
"cpov" (cummulative proportion of variance).
Defaults to "cpov".
Value
data
Data used in the plot.
plot
The ggplot object.
Dynge/r_dynge documentation built on July 1, 2019, 11:21 p.m.
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Description Usage Arguments Value
Description
This function constructs a screeplot based on either the eigenvalues, percentage of variance or the cummulative percentage of variance. this can be done by adjusting the type variable.
Usage
1 |
Arguments
model |
The PCA model from FactoMineR. |
type |
The type of model. This can be one of three: "eig" (eigenvalues), "pov" (proportion of variance) or "cpov" (cummulative proportion of variance). Defaults to "cpov". |
Value
data |
Data used in the plot. |
plot |
The ggplot object. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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